Table 6: Logistic Regression Model*.

OR CI 95%
Riding under the influence of alcohol 1.42 0.39-5.26
Weather conditions: On night/Sunny 0.28 0.07-1.17
Weather conditions: On night/Other weather condition 2.23 0.29-17.35
Days on the week for using the motorcycle: 5 or more days / 1 to 4 days 0.42 0.08-2.18
Days on the week for using the motorcycle: No day/1 to 4 days 3.66 0.16-85.39
No adequate functioning before the accident 76.89 2.08-2839.25
Think they infringed a road rule 6.88 1.30-36.26
Motorcycle rider 0.09 0.003-2.21
Motorcycle brand: Italika/Honda 0.47 0.08-2.61
Motorcycle brand: Otra marca/Honda 0.06 0.008-0.41
Motorcycle model 0.49 0.11-2.11
License plate 1.76 0.34-9.13
The injured motorcyclist live in Metropolitan Area of Guadalajara 7.58 1.15-50.17
Knows if the motorcycle is “salvage”: Yes/No 6.60 0.41-105.74
Knows if the motorcycle is “salvage”: Ignores it/No 113.84 9.13-1419.96
Motorcyclist insurance 3.80 0.65-22.07
Site of the accident: Straight track/ Cross-intersection 0.10 0.02-0.61
Site of the accident: Other site/ Cross-intersection 0.28 0.06-1.30
*n=117, we eliminate incomplete registers to do the logistic regression model